{"id":"W4286419848","doi":"10.52842/conf.caadria.2020.2.453","title":"Sustainable Sonic Environments - The Robotic Fabrication of Mass Timber Acoustic Surfaces","year":2020,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Computer-Aided Architectural Design Research in Asia","topic":"Architecture and Computational Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Constructive; Architecture; Architectural engineering; Computer science; Sound (geography); Fabrication; Acoustics; Engineering; Process (computing); Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361525,0.0002597017,0.0001551091,0.0001680066,0.0003402645,0.0007059957,0.000418266,0.0004295293,0.002682291],"category_scores_gemma":[0.000330652,0.0002153566,0.0002828823,0.0001145936,0.0005267587,0.0005915781,0.0007976936,0.0003319093,0.0008523957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001959209,"about_ca_system_score_gemma":0.0002627298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002155972,"about_ca_topic_score_gemma":0.0007018847,"domain_scores_codex":[0.9997932,0.00003034848,0.000004468143,0.00003037648,0.000115192,0.00002639801],"domain_scores_gemma":[0.9998692,0.000042944,0.0000159006,0.00004404698,0.00001541167,0.00001257201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001049568,0.0001285335,0.00136398,0.0003096885,0.00003160601,0.000773386,0.0007861886,0.1942456,0.6072456,0.04283653,0.002107222,0.1500666],"study_design_scores_gemma":[0.00005143516,0.001201599,0.004479039,0.0001054264,0.0000321772,0.001683299,0.001176474,0.4361085,0.4258697,0.03589839,0.09327987,0.0001140466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4103149,0.000812068,0.5047805,0.0002896603,0.0001838996,0.0001305044,0.000120035,0.001564483,0.08180388],"genre_scores_gemma":[0.8195251,0.0002769745,0.1717224,0.00005052867,0.00001222822,0.0000501129,0.00006490949,0.00007210972,0.008225747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002682291,"threshold_uncertainty_score":0.008973181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07251031601947143,"score_gpt":0.2865093550578749,"score_spread":0.2139990390384034,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}